About Me

Hello! My name is Cassandra (Casey) Goldberg. I am a third-year computer science PhD student at the University of Pennsylvania, advised by Eric Wong in the Brachio Lab.

I work on the theoretical foundations of interpretable and reliable AI, studying how models encode information and how their internal computations shape their behavior. In collaboration with surgeons, I combine this understanding with clinical knowledge to develop AI methods that base their assessments on evidence relevant to surgical decisions.

I graduated cum laude from Bowdoin College with a BA in computer science and physics. There, I researched statistically-sound deep learning techniques for synthetic aperture radar (SAR) image segmentation under the mentorship of Jeová Farias.

Recent News!

• Oct 2026: 🎉 Our SuperActivators paper was accepted to NeurIPS 2026!
• Jul 2026: 🎤 I presented Sum-of-Checks at IPCAI 2026.
• Oct 2025: 📄 Our SAR convolutional block paper was accepted to IEEE SIBGRAPI 2025.
• May 2024: 🎓 I completed my honors thesis on SAR image segmentation at Bowdoin.
• Feb 2024: 🌟 I was selected as an AAAI-24 Undergraduate Consortium Scholar.

Publications

• SuperActivators: Only the Tail of the Distribution Contains Reliable Concept Signals
  Cassandra Goldberg, Chaehyeon Kim, Adam Stein, Eric Wong
  NeurIPS, 2026
• Sum-of-Checks: Structured Reasoning for Surgical Safety with Large Vision-Language Models
  Weiqiu You, Cassandra Goldberg, Amin Madani, Daniel A. Hashimoto, Eric Wong
  IPCAI Short Communication, 2026
• Machine Learning-Driven Analysis of Geophysical Wellbore Data for Underground Storage Applications
  Nikita Bondarenko, Ansh Ankul, Cassandra Goldberg, Sherilyn Williams-Stroud, Roman Makhnenko
  Rock Mechanics and Rock Engineering, 2026
• A Parameter Estimation-Inspired Convolutional Block for SAR Data
  Cassandra Goldberg, J. F. S. Rocha Neto
  IEEE SIBGRAPI, 2025